Ozone is an open-source Python package for solving ordinary differential equations within gradient-based optimization. Built in CSDL, it computes sensitivities through time integration and supports multiple integration methods and solution approaches. This lets researchers compare time-dependent formulations for optimal control and multidisciplinary design while retaining derivatives of the surrounding model [1].
References
- Mark Z. Sperry, John T. Hwang. Ozone: an open-source ordinary differential equation solver for gradient-based optimization. Optimization and Engineering, 2025.DOIPDF
@article{sperry2025ozone, author = {Mark Z. Sperry and John T. Hwang}, title = {Ozone: an open-source ordinary differential equation solver for gradient-based optimization}, journal = {Optimization and Engineering}, year = {2025}, volume = {26}, number = {3}, pages = {2145-2183}, doi = {10.1007/s11081-025-09967-y}, url = {https://doi.org/10.1007/s11081-025-09967-y}, note = {Metadata verification: Crossref title} }
Research connections